Wind turbine generator optimization control method based on multi-objective model prediction

A multi-objective model, optimized control technology, applied in motor generator control, synchronous generator control, electronic commutation motor control, etc., can solve the problem that the rotor kinetic energy cannot provide sufficient active support, endanger system stability, and control accuracy is not high. question

Active Publication Date: 2020-12-01
HEFEI UNIV OF TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0007] 1. When the system disturbance is large, the inertia is insufficient, and the kinetic energy of the rotor cannot provide sufficient active support;
[0008] 2. There are problems in the existing methods that may cause system frequenc

Method used

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  • Wind turbine generator optimization control method based on multi-objective model prediction
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  • Wind turbine generator optimization control method based on multi-objective model prediction

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Embodiment Construction

[0083] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0084] figure 1 It is the topological diagram of the wind turbine in the embodiment of the present invention. Depend on figure 1 It can be seen that the wind turbines applying this optimal control method include wind turbines, permanent magnet synchronous generators, machine-side converters, grid-side converters and DC capacitors C. The wind turbine, the permanent magnet synchronous generator, the machine-side converter and the grid-side converter are connected in sequence, and the DC capacitor C is connected in parallel to the DC positive bus P between the machine-side converter and the grid-side converter and the DC Between the negative bus N. The other end of the grid-side converter is sequentially connected to the transformer and the grid.

[0085] figure 2 is the topology diagram of the machine-side converter ...

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Abstract

The invention relates to the field of wind power generation and discloses a wind turbine generator optimization control method based on multi-objective model prediction. According to the method, basedon conventional virtual inertia control, a current loop with finite set model predictive control is adopted, and current, frequency and electromagnetic torque are used as optimization objectives, sothat the control has the characteristic that multiple objectives are optimized at the same time, the stability of the frequency is effectively enhanced in a frequency disturbance process, and meanwhile shafting oscillation caused by disturbance is restrained; on the basis of a conventional constant weight coefficient, dynamic weight coefficient control is realized through a power function structure; the weight coefficient of each optimization objective can be adjusted under different working conditions, the stability of a wind power generation system is further enhanced; the designed control structure enables a permanent magnet synchronous generator set to have higher inertia and frequency supporting capacity, and the stability of the system is improved while virtual inertia is obtained.

Description

technical field [0001] The invention relates to the field of wind power generation, and specifically proposes an optimal control method for wind turbines based on multi-objective model prediction. Background technique [0002] As a clean energy, wind energy is an indispensable part of the field of new energy power generation. With the increasing demand for wind power generation in my country, large-capacity and high-proportion wind power systems are continuously integrated into the grid, which has an impact on the stability of the grid frequency. The traditional thermal power unit itself has a large moment of inertia, and when the frequency of the power grid fluctuates, the thermal power unit can spontaneously release compensation energy according to the power fluctuation, thereby maintaining the stability of the frequency, although the generator itself of the wind power unit also has inertia, However, the grid-connected control structure on the grid side decouples the outpu...

Claims

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Application Information

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IPC IPC(8): H02P21/14H02P21/20H02P21/05H02M7/219H02P101/15H02P103/20
CPCH02P21/14Y02E10/76
Inventor 谢震解妍昌宇洋冯艳涛张兴
Owner HEFEI UNIV OF TECH
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